000 03170nam a22003377a 4500
003 OSt
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040 _aTUPM
_bEnglish
_cTUPM
_dTUPM
_erda
050 _aBTH TK 870
_bG37 2023
100 _aGARDUCE JR., RAUL P.
_eAuthor
245 _aDevelopment of restroom maintenance system/
_cRaul P. Garduce Jr., Mary Rose R. Hornilla, Rosario C. Mateo, Remiel D. Nafarrete, and Mitchelle C. Reglos.--
260 _aMANILA
_bTECHNOLIGICAL UNIVERSITY OF THE PHILIPPINES
_c2023
300 _axi, 106 pages:
_c29 cm
336 _2rdacontent
337 _2rdamedia
338 _2rdacarrier
500 _aBachelor's Thesis
502 _aCollege of Industrial Technology.--
_bBachelor of Engineering Technology major in Electronic Technology:
_cTechnological University of the Philippines,
_d2023
504 _aIncludes bibliographic references and index.
520 _aToilet cleanliness is critical for all humans. All germs and bacteria begin their attacks on the human body here. That is why toilets must be sanitized daily. Foul odors in a restroom are caused by a lack of cleaning, an unflushed toilet, and a lack of water, while an adequately cleaned restroom will have no odor issues. Currently, available technologies and methods can produce exact measurements and effective maintenance and monitoring. However, these are hand-controlled, expensive to operate, and difficult to monitor due to insufficient alerting options. As a result, the researchers proposed a restroom maintenance system that can monitor, notify restroom cleaners, and maintain cleanliness that is IoT- based with data analytics from the data obtained from air quality sensors and ultrasonic water level sensors by NodeMCU Wi-Fi Module ESP8266. The system was then assessed in terms of the indoor air quality of the restroom based on the set time of day by the researchers. Results show a significant difference in the air quality that can be detected depending on the time of day, according to the testing results for the hypothesis-way one- way ANOVA F (5,66) = 164.653, p=.000, and a sample size of n=72. This means that the system can detect higher concentrations of pollutants in the air, resulting in a foul odor in the restroom, particularly at 1PM as compared to the other time of the day. The system was evaluated using the ISO 25010 system and software quality models, and responses from maintenance staff, university professors, and students yielded an overall mean of 4.8, which is interpreted as excellent. This project contributes to the United Nations' Sustainable Development Goals (SDGs) to ensure sustainable consumption and production patterns (SDG 12), as well as the objective to ensure water availability and sustainable management for all (SDG 6).
650 _aElectrical Technology
650 _aBacteria
650 _aRestroom Maintenance
650 _aAir quality
700 _aHornilla, Mary Rose R.
_eAuthor
700 _aMateo, Rosario C.
700 _aNafarrete, Remiel D.
_eAuthor
700 _aReglos, Mitchelle C.
_eAuthor
942 _2lcc
_cBTH CIT
_n0
999 _c31350
_d31350